Dawei Ma madawei2699

## populate_data.py
from peewee import *
import uuid
import random
import string
from datetime import date, timedelta

db_name = 'db'
table_name = 'table'

db = MySQLDatabase(db_name, user='root', password='123456', host='localhost', port=3307)

## google-structured-data-blogposting-sample.js
<script type='application/ld+json' class='yoast-schema-graph yoast-schema-graph--main'>
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://www.hallaminternet.com/#organization",
      "name": "Hallam",
      "url": "https://www.hallaminternet.com/",
      "sameAs": [

## bibtex.png

      
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                madawei2699
                / bibtex.png
            
            
              Created
              January 22, 2020 11:03
                — forked from max-mapper/bibtex.png
            
              
                How to make a scientific looking PDF from markdown (with bibliography)
              
          
## calculates-similarity-distribution-of-website-by-tf-idf.py
import gensim
from gensim import corpora,models
from gensim.matutils import corpus2dense
from sklearn.metrics.pairwise import cosine_similarity
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import os
import datetime

## index.html
<!DOCTYPE html>
<html>
<head>
<script src="https://code.jquery.com/jquery-1.11.1.min.js"></script>
  <script src="https://cdnjs.cloudflare.com/ajax/libs/mustache.js/2.1.2/mustache.min.js"></script>
  <title>TODO++</title>
</head>
<body>

<script id="todo-list" type="x-tmpl-mustache">

## fibonacci-algorithms-in-elixir.exs
defmodule Benchmark do
  def measure(function) do
    function
    |> :timer.tc
    |> elem(0)
    |> Kernel./(1_000_000)
  end
end

defmodule Fibonacci1 do

## CodingAnytimeAnywhere.exs
(for x <- [<<65>><>"ny"], y <- ~w(time where), do: x <> y)
|> Enum.reduce('Co'++~c(deing)--[101], &([&2|["\s"|&1]]))
|> IO.puts

## press.one
{"sig":"88ae11887adbd14d4674995ee23f72a53deb49cce476c86bc0a4ee48a613ea59df5f78162b2745903cf8ae915cc96e5b61deec0fbbf07a4a358441eb7bb513f81","msghash":"07e1bd0588cf1efe24c1f320dce4081603ad40e772c25ffc3f15751d086d4e98"}
	from peewee import *
	import uuid
	import random
	import string
	from datetime import date, timedelta

	db_name = 'db'
	table_name = 'table'

	db = MySQLDatabase(db_name, user='root', password='123456', host='localhost', port=3307)
	<script type='application/ld+json' class='yoast-schema-graph yoast-schema-graph--main'>
	{
	"@context": "https://schema.org",
	"@graph": [
	{
	"@type": "Organization",
	"@id": "https://www.hallaminternet.com/#organization",
	"name": "Hallam",
	"url": "https://www.hallaminternet.com/",
	"sameAs": [
	import gensim
	from gensim import corpora,models
	from gensim.matutils import corpus2dense
	from sklearn.metrics.pairwise import cosine_similarity
	import pandas as pd
	import numpy as np
	import seaborn as sns
	import matplotlib.pyplot as plt
	import os
	import datetime
	<!DOCTYPE html>
	<html>
	<head>
	<script src="https://code.jquery.com/jquery-1.11.1.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/mustache.js/2.1.2/mustache.min.js"></script>
	<title>TODO++</title>
	</head>
	<body>

	<script id="todo-list" type="x-tmpl-mustache">
	defmodule Benchmark do
	def measure(function) do
	function
	\|> :timer.tc
	\|> elem(0)
	\|> Kernel./(1_000_000)
	end
	end

	defmodule Fibonacci1 do
	(for x <- [<<65>><>"ny"], y <- ~w(time where), do: x <> y)
	\|> Enum.reduce('Co'++~c(deing)--[101], &([&2\|["\s"\|&1]]))
	\|> IO.puts